![]() You must choose 400 names for the sample. Your phone book contains 20,000 residence listings. For example, suppose you have to do a phone survey. To choose a systematic sample, randomly select a starting point and take every n th piece of data from a listing of the population. All members of the four departments with those numbers are the cluster sample. Number each department, and then choose four different numbers using simple random sampling. Divide your college faculty by department. For example, if you randomly sample four departments from your college population, the four departments make up the cluster sample. All the members from these clusters are in the cluster sample. To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. Those numbers picked from the first department, picked from the second department, and so on represent the members who make up the stratified sample. Then use simple random sampling to choose proportionate numbers from the first department and do the same for each of the remaining departments. To choose a simple random sample from each department, number each member of the first department, number each member of the second department, and do the same for the remaining departments. For example, you could stratify (group) your college population by department and then choose a proportionate simple random sample from each stratum (each department) to get a stratified random sample. ![]() To choose a stratified sample, divide the population into groups called strata and then take a proportionate number from each stratum. Other well-known random sampling methods are the stratified sample, the cluster sample, and the systematic sample. ![]() Besides herself, Lisa’s group will consist of Marcierz, Cuningham, and Cuarismo.īesides simple random sampling, there are other forms of sampling that involve a chance process for getting the sample. The two-digit number 14 corresponds to Macierz, 05 corresponds to Cuningham, and 04 corresponds to Cuarismo. However the third random number, 0.14669, contains 14 (the fourth random number also contains 14), the fifth random number contains 05, and the seventh random number contains 04. The random numbers 0.94360 and 0.99832 do not contain appropriate two digit numbers. If she needed to, Lisa could have generated more random numbers. Each random number may only contribute one class member. Lisa reads two-digit groups until she has chosen three class members (that is, she reads 0.94360 as the groups 94, 43, 36, 60). For this example, suppose Lisa chooses to generate random numbers from a calculator. Lisa can use a table of random numbers (found in many statistics books and mathematical handbooks), a calculator, or a computer to generate random numbers.
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